The Job Opportunities in AI: A Spectrum of Possibilities

Learning an AI course and acquiring theoretical concepts and applied knowledge can open doors to a wide range of job opportunities. If you're a brilliant software engineer who also knows AI, this course is designed to help you crack an entry-level AI machine learning engineer or data scientist position at top companies such as Google, Facebook, and Amazon. These companies not only test your knowledge of AI but also assess your knowledge of software engineering, which you'll need to develop separately through your undergraduate or graduate studies or work experience.

At the end of this course, if you've performed exceptionally well, you'll have a strong chance of getting into tier-one product-based companies like Google, Facebook, and Amazon. If you build a phenomenal portfolio, complete all assignments, and code well, combined with having a good software engineering background, you can easily secure an entry-level position as a data scientist or machine learning engineer at these top-tier companies.

Moving beyond tier one, we have tier two product-based companies that are known for building great products but offer slightly different compensation compared to their tier-one counterparts. These companies include Cisco, Oracle, and Teradata, which have numerous openings for machine learning engineers and data scientists. Based on your software engineering skills, you should be able to secure a position at these companies as well.

In addition to product-based companies, there are numerous startups that require machine learning and data science expertise. With the rapid growth of startups in various sectors, including technology, finance, healthcare, and more, there is an abundance of opportunities for individuals with AI knowledge. Not only can you find startup jobs in India but also abroad.

In the Indian job market, tier one services companies like Infosys, Wipro, Cognizant, and many others have a massive requirement for data science specialists and AI engineers. These companies provide services to clients from diverse sectors such as banking, finance, insurance, stock markets, trading, healthcare, and more. All these clients are eager to leverage the power of AI and machine learning to improve their solutions, thereby creating numerous job openings.

Moreover, there is a significant number of job openings at smaller, boutique service companies that specialize in data science. These companies offer a more niche environment where you can work on specific, nuanced problems related to data science and AI.

However, it's essential to note that not all job opportunities are in the IT sector. Non-IT companies such as those in healthcare, finance, trading, and agriculture also require machine learning engineers and data scientists to improve their solutions using advances in AI and machine learning. For instance, BMW has recently announced openings for AI engineers and machine learning engineers, indicating a broader spectrum of job opportunities.

In conclusion, the job market for AI is vast and diverse. If you're interested in pursuing a career in AI, it's essential to understand that there are numerous job opportunities available, ranging from entry-level positions at top-tier companies to senior roles in startups and non-IT sectors. By developing your skills in software engineering and acquiring knowledge in AI, you can secure a position in this exciting field and contribute to the advancement of technology and data-driven solutions across various industries.

"WEBVTTKind: captionsLanguage: enso what are the job opportunities if you learn AI course if you learn all the theoretical Concepts and applied knowledge of AI what types of jobs could you get so I wanted to give you a brief overview of the spectrum of jobs you can get of course if you're a brilliant software engineer uh who also knows AI this course is so designed that you should be able to crack an entry level uh AI a machine learning engineer or data scientist at all of these companies that I'm talking about right now of course these companies also in addition to testing your knowledge of AI they also test your knowledge of software engineering which you do not teach in this course it's something that you have to learn as part of your undergraduate or graduate or work experience days so you can but at the end of this course if you've done the course phenomenally well you stand a very good chance of getting into tier one product based companies like Google Facebook and Amazon so if you do your if you build a phenomenal portfolio go through all the assignments do the codes well and if you have also a good software engineer you can easily move into entry level I'm not saying you'll go as a senior scientist or a principal scientist I'm saying you will be able to get into a inter-level data science or machine learning rules at tier one product based companies like Google Facebook Amazon the next set of companies are uh it's unfair to call them tier 2 because they build great products but in terms of compensation they're slightly different from tier one product based companies the tier 2 product based companies like Cisco Oracle teradata a lot of these companies um which have a lot of machine learning openings and data science openings today so that's another set of companies where based on how skilled a software engineer you are you should be able to make it there are also a lot of startups which require machine learning and data science expertise so a lot of product based companies product-based startups which are looking for it I've seen I've seen job openings at a wide spectrum of startups both in India and abroad and if you're in India there are a lot of a lot of services companies their tier one services companies like Infosys Wipro cognizant music Etc there is a massive amount of requirement of data science Specialists and AI engineers in these companies because these companies provide services to their clients and their clients come from a wide spectrum of areas everything from banking Finance Insurance stock market stock trading Health Care you name it you name it they have clients everywhere and all of these clients are trying to use the services provided by this tier one services companies to solve the AI or data science problems there are also tier 2 services companies which are smaller Boutique services companies which specialize in data science and there is a lot of a lot of Market a lot of openings even in those spaces the most interesting interesting job openings I've seen are actually non-it companies uh so all the list that I've just shown on this page today right now are all I.T companies right they're they're software engineering companies or they're computer science companies but there's a huge spectrum of non-it companies uh in healthcare in finance in trading in in you know we haven't seen I've even seen some machine learning openings for companies which build agriculture tools in manufacturing for example BMW uh BMW has openings for AI engineers and machine learning Engineers today so there is a huge spectrum of openings not just in it companies but also in non-it companies so there are openings in a wide spectrum of banks that I've seen because Banks want to improve their Solutions using advances in Ai and machine learning because they're actually on tremendous petabytes of petabytes of data and they want to leverage all of the data to create better products better services for their customers so when you're looking for a job in AI in addition to looking through all the all the traditional companies your services are product based companies also keep an eye out for non-iit companies because there you'll have you have a much smaller team and you get to work on a very very nuanced interesting problem right um so that's that's the fun so the space is open in front of you you can look at any company and I'm hoping that if not today in a very short duration from now maybe in the next five to ten years every company will have data scientists and machine learning Engineers um solving tons of problems and improving lives and services for customersso what are the job opportunities if you learn AI course if you learn all the theoretical Concepts and applied knowledge of AI what types of jobs could you get so I wanted to give you a brief overview of the spectrum of jobs you can get of course if you're a brilliant software engineer uh who also knows AI this course is so designed that you should be able to crack an entry level uh AI a machine learning engineer or data scientist at all of these companies that I'm talking about right now of course these companies also in addition to testing your knowledge of AI they also test your knowledge of software engineering which you do not teach in this course it's something that you have to learn as part of your undergraduate or graduate or work experience days so you can but at the end of this course if you've done the course phenomenally well you stand a very good chance of getting into tier one product based companies like Google Facebook and Amazon so if you do your if you build a phenomenal portfolio go through all the assignments do the codes well and if you have also a good software engineer you can easily move into entry level I'm not saying you'll go as a senior scientist or a principal scientist I'm saying you will be able to get into a inter-level data science or machine learning rules at tier one product based companies like Google Facebook Amazon the next set of companies are uh it's unfair to call them tier 2 because they build great products but in terms of compensation they're slightly different from tier one product based companies the tier 2 product based companies like Cisco Oracle teradata a lot of these companies um which have a lot of machine learning openings and data science openings today so that's another set of companies where based on how skilled a software engineer you are you should be able to make it there are also a lot of startups which require machine learning and data science expertise so a lot of product based companies product-based startups which are looking for it I've seen I've seen job openings at a wide spectrum of startups both in India and abroad and if you're in India there are a lot of a lot of services companies their tier one services companies like Infosys Wipro cognizant music Etc there is a massive amount of requirement of data science Specialists and AI engineers in these companies because these companies provide services to their clients and their clients come from a wide spectrum of areas everything from banking Finance Insurance stock market stock trading Health Care you name it you name it they have clients everywhere and all of these clients are trying to use the services provided by this tier one services companies to solve the AI or data science problems there are also tier 2 services companies which are smaller Boutique services companies which specialize in data science and there is a lot of a lot of Market a lot of openings even in those spaces the most interesting interesting job openings I've seen are actually non-it companies uh so all the list that I've just shown on this page today right now are all I.T companies right they're they're software engineering companies or they're computer science companies but there's a huge spectrum of non-it companies uh in healthcare in finance in trading in in you know we haven't seen I've even seen some machine learning openings for companies which build agriculture tools in manufacturing for example BMW uh BMW has openings for AI engineers and machine learning Engineers today so there is a huge spectrum of openings not just in it companies but also in non-it companies so there are openings in a wide spectrum of banks that I've seen because Banks want to improve their Solutions using advances in Ai and machine learning because they're actually on tremendous petabytes of petabytes of data and they want to leverage all of the data to create better products better services for their customers so when you're looking for a job in AI in addition to looking through all the all the traditional companies your services are product based companies also keep an eye out for non-iit companies because there you'll have you have a much smaller team and you get to work on a very very nuanced interesting problem right um so that's that's the fun so the space is open in front of you you can look at any company and I'm hoping that if not today in a very short duration from now maybe in the next five to ten years every company will have data scientists and machine learning Engineers um solving tons of problems and improving lives and services for customers\n"